{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd \n",
    "import matplotlib.pyplot as plt\n",
    "import torch\n",
    "import torch.optim as optim  # 优化器用来迭代，优化模型用的 \n",
    "import warnings \n",
    "warnings.filterwarnings(\"ignore\")\n",
    "%matplotlib inline  \n",
    "# 只能在notebook中使用，把图嵌在网页上"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>week</th>\n",
       "      <th>temp_2</th>\n",
       "      <th>temp_1</th>\n",
       "      <th>average</th>\n",
       "      <th>actual</th>\n",
       "      <th>friend</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Fri</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45.6</td>\n",
       "      <td>45</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Sat</td>\n",
       "      <td>44</td>\n",
       "      <td>45</td>\n",
       "      <td>45.7</td>\n",
       "      <td>44</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Sun</td>\n",
       "      <td>45</td>\n",
       "      <td>44</td>\n",
       "      <td>45.8</td>\n",
       "      <td>41</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>Mon</td>\n",
       "      <td>44</td>\n",
       "      <td>41</td>\n",
       "      <td>45.9</td>\n",
       "      <td>40</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>Tues</td>\n",
       "      <td>41</td>\n",
       "      <td>40</td>\n",
       "      <td>46.0</td>\n",
       "      <td>44</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  month  day  week  temp_2  temp_1  average  actual  friend\n",
       "0  2016      1    1   Fri      45      45     45.6      45      29\n",
       "1  2016      1    2   Sat      44      45     45.7      44      61\n",
       "2  2016      1    3   Sun      45      44     45.8      41      56\n",
       "3  2016      1    4   Mon      44      41     45.9      40      53\n",
       "4  2016      1    5  Tues      41      40     46.0      44      41"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features = pd.read_csv('temps.csv')\n",
    "\n",
    "#看看数据长什么样子\n",
    "features.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "数据表中\n",
    "* year,moth,day,week分别表示的具体的时间\n",
    "* temp_2：前天的最高温度值\n",
    "* temp_1：昨天的最高温度值\n",
    "* average：在历史中，每年这一天的平均最高温度值\n",
    "* actual：这就是我们的标签值了，当天的真实最高温度\n",
    "* friend：这一列可能是凑热闹的，你的朋友猜测的可能值，咱们不管它就好了"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "数据维度: (348, 9)\n"
     ]
    }
   ],
   "source": [
    "print('数据维度:', features.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 处理时间数据\n",
    "import datetime\n",
    "\n",
    "# 分别得到年，月，日\n",
    "years = features['year']\n",
    "months = features['month']\n",
    "days = features['day']\n",
    "\n",
    "# datetime格式\n",
    "dates = [str(int(year)) + '-' + str(int(month)) + '-' + str(int(day)) for year, month, day in zip(years, months, days)]\n",
    "dates = [datetime.datetime.strptime(date, '%Y-%m-%d') for date in dates]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[datetime.datetime(2016, 1, 1, 0, 0),\n",
       " datetime.datetime(2016, 1, 2, 0, 0),\n",
       " datetime.datetime(2016, 1, 3, 0, 0),\n",
       " datetime.datetime(2016, 1, 4, 0, 0),\n",
       " datetime.datetime(2016, 1, 5, 0, 0)]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dates[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 准备画图\n",
    "# 指定默认风格\n",
    "plt.style.use('fivethirtyeight')\n",
    "\n",
    "# 设置布局   2*2\n",
    "fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(nrows=2, ncols=2, figsize = (10,10))\n",
    "fig.autofmt_xdate(rotation = 45) #x轴标签倾斜45°\n",
    "\n",
    "# 标签值\n",
    "ax1.plot(dates, features['actual'])  # x轴，y轴\n",
    "ax1.set_xlabel(''); ax1.set_ylabel('Temperature'); ax1.set_title('Max Temp')\n",
    "\n",
    "# 昨天\n",
    "ax2.plot(dates, features['temp_1'])\n",
    "ax2.set_xlabel(''); ax2.set_ylabel('Temperature'); ax2.set_title('Previous Max Temp')\n",
    "\n",
    "# 前天\n",
    "ax3.plot(dates, features['temp_2'])\n",
    "ax3.set_xlabel('Date'); ax3.set_ylabel('Temperature'); ax3.set_title('Two Days Prior Max Temp')\n",
    "\n",
    "# 我的逗逼朋友\n",
    "ax4.plot(dates, features['friend'])\n",
    "ax4.set_xlabel('Date'); ax4.set_ylabel('Temperature'); ax4.set_title('Friend Estimate')\n",
    "\n",
    "plt.tight_layout(pad=2)  # 每一行子图的间隔距离"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>temp_2</th>\n",
       "      <th>temp_1</th>\n",
       "      <th>average</th>\n",
       "      <th>actual</th>\n",
       "      <th>friend</th>\n",
       "      <th>week_Fri</th>\n",
       "      <th>week_Mon</th>\n",
       "      <th>week_Sat</th>\n",
       "      <th>week_Sun</th>\n",
       "      <th>week_Thurs</th>\n",
       "      <th>week_Tues</th>\n",
       "      <th>week_Wed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45.6</td>\n",
       "      <td>45</td>\n",
       "      <td>29</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>44</td>\n",
       "      <td>45</td>\n",
       "      <td>45.7</td>\n",
       "      <td>44</td>\n",
       "      <td>61</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>45</td>\n",
       "      <td>44</td>\n",
       "      <td>45.8</td>\n",
       "      <td>41</td>\n",
       "      <td>56</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>44</td>\n",
       "      <td>41</td>\n",
       "      <td>45.9</td>\n",
       "      <td>40</td>\n",
       "      <td>53</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>41</td>\n",
       "      <td>40</td>\n",
       "      <td>46.0</td>\n",
       "      <td>44</td>\n",
       "      <td>41</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  month  day  temp_2  temp_1  average  actual  friend  week_Fri  \\\n",
       "0  2016      1    1      45      45     45.6      45      29      True   \n",
       "1  2016      1    2      44      45     45.7      44      61     False   \n",
       "2  2016      1    3      45      44     45.8      41      56     False   \n",
       "3  2016      1    4      44      41     45.9      40      53     False   \n",
       "4  2016      1    5      41      40     46.0      44      41     False   \n",
       "\n",
       "   week_Mon  week_Sat  week_Sun  week_Thurs  week_Tues  week_Wed  \n",
       "0     False     False     False       False      False     False  \n",
       "1     False      True     False       False      False     False  \n",
       "2     False     False      True       False      False     False  \n",
       "3      True     False     False       False      False     False  \n",
       "4     False     False     False       False       True     False  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 独热编码\n",
    "features = pd.get_dummies(features)\n",
    "features.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(348, 15)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 标签(这个是y_label  最后需要对比的)(拿出cctual这列的数据)\n",
    "labels = np.array(features['actual'])\n",
    "\n",
    "# 在特征中去掉标签    （去掉actual这一列的数据）\n",
    "features= features.drop('actual', axis = 1)\n",
    "\n",
    "# 名字单独保存一下，以备后患     (把每列的名字保存一下)\n",
    "feature_list = list(features.columns)\n",
    "\n",
    "# 转换成合适的格式   \n",
    "features = np.array(features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import preprocessing\n",
    "input_features = preprocessing.StandardScaler().fit_transform(features)  # 让数据中心对称"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.        , -1.5678393 , -1.65682171, -1.48452388, -1.49443549,\n",
       "       -1.3470703 , -1.98891668,  2.44131112, -0.40482045, -0.40961596,\n",
       "       -0.40482045, -0.40482045, -0.41913682, -0.40482045])"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "input_features[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 构建网络模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loss: tensor(7899.3325, dtype=torch.float64, grad_fn=<MeanBackward0>)\n",
      "loss: tensor(152.5563, dtype=torch.float64, grad_fn=<MeanBackward0>)\n",
      "loss: tensor(145.2358, dtype=torch.float64, grad_fn=<MeanBackward0>)\n",
      "loss: tensor(143.0357, dtype=torch.float64, grad_fn=<MeanBackward0>)\n",
      "loss: tensor(141.9426, dtype=torch.float64, grad_fn=<MeanBackward0>)\n",
      "loss: tensor(141.2921, dtype=torch.float64, grad_fn=<MeanBackward0>)\n",
      "loss: tensor(140.8536, dtype=torch.float64, grad_fn=<MeanBackward0>)\n",
      "loss: tensor(140.5319, dtype=torch.float64, grad_fn=<MeanBackward0>)\n",
      "loss: tensor(140.2921, dtype=torch.float64, grad_fn=<MeanBackward0>)\n",
      "loss: tensor(140.1062, dtype=torch.float64, grad_fn=<MeanBackward0>)\n"
     ]
    }
   ],
   "source": [
    "x = torch.tensor(input_features, dtype = float)\n",
    "\n",
    "y = torch.tensor(labels, dtype = float)\n",
    "\n",
    "# 权重参数初始化\n",
    "weights = torch.randn((14, 128), dtype = float, requires_grad = True) \n",
    "biases = torch.randn(128, dtype = float, requires_grad = True) \n",
    "weights2 = torch.randn((128, 1), dtype = float, requires_grad = True) \n",
    "biases2 = torch.randn(1, dtype = float, requires_grad = True) \n",
    "\n",
    "learning_rate = 0.001 \n",
    "losses = []\n",
    "\n",
    "for i in range(1000):\n",
    "    # 计算隐层\n",
    "    hidden = x.mm(weights) + biases  ## x.mm矩阵乘法\n",
    "    # 加入激活函数\n",
    "    hidden = torch.relu(hidden)\n",
    "    # 预测结果\n",
    "    predictions = hidden.mm(weights2) + biases2\n",
    "    # 通计算损失\n",
    "    loss = torch.mean((predictions - y) ** 2)  # 均方误差 \n",
    "    losses.append(loss.data.numpy())   # 数据由tensor转化成numpy储存到losses中\n",
    "    \n",
    "    # 打印损失值\n",
    "    if i % 100 == 0:\n",
    "        print('loss:', loss)\n",
    "    #返向传播计算\n",
    "    loss.backward()\n",
    "    \n",
    "    #更新参数\n",
    "    weights.data.add_(- learning_rate * weights.grad.data)  \n",
    "    biases.data.add_(- learning_rate * biases.grad.data)\n",
    "    weights2.data.add_(- learning_rate * weights2.grad.data)\n",
    "    biases2.data.add_(- learning_rate * biases2.grad.data)\n",
    "    \n",
    "    # 每次迭代都得记得清空\n",
    "    weights.grad.data.zero_()\n",
    "    biases.grad.data.zero_()\n",
    "    weights2.grad.data.zero_()\n",
    "    biases2.grad.data.zero_()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([348, 1])"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 更简单的构建网络模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "input_size = input_features.shape[1] # 输入特征\n",
    "hidden_size = 128\n",
    "output_size = 1\n",
    "batch_size = 16\n",
    "# 连续模块\n",
    "# （14，128） 自动初始化weights\n",
    "my_nn = torch.nn.Sequential(\n",
    "    torch.nn.Linear(input_size, hidden_size),  \n",
    "    torch.nn.Sigmoid(),\n",
    "    torch.nn.Linear(hidden_size, output_size),\n",
    ")\n",
    "cost = torch.nn.MSELoss(reduction='mean')\n",
    "optimizer = torch.optim.Adam(my_nn.parameters(), lr = 0.001)# 更新所有权重参数对比SGD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 3940.4304\n",
      "100 37.819828\n",
      "200 35.65802\n",
      "300 35.312428\n",
      "400 35.156433\n",
      "500 35.028706\n",
      "600 34.912914\n",
      "700 34.796646\n",
      "800 34.67539\n",
      "900 34.549736\n"
     ]
    }
   ],
   "source": [
    "# 训练网络\n",
    "losses = []\n",
    "for i in range(1000):\n",
    "    batch_loss = []\n",
    "    # MINI-Batch方法来进行训练\n",
    "    for start in range(0, len(input_features), batch_size):\n",
    "        # end使用if防止越界\n",
    "        end = start + batch_size if start + batch_size < len(input_features) else len(input_features)\n",
    "        xx = torch.tensor(input_features[start:end], dtype = torch.float, requires_grad = True)\n",
    "        yy = torch.tensor(labels[start:end], dtype = torch.float, requires_grad = True)\n",
    "        prediction = my_nn(xx)\n",
    "        loss = cost(prediction, yy)\n",
    "        # 先清0，再反向传播，再更新参数，再存数据\n",
    "        optimizer.zero_grad()\n",
    "        loss.backward(retain_graph=True)\n",
    "        optimizer.step()\n",
    "        batch_loss.append(loss.data.numpy())\n",
    "    \n",
    "    # 打印损失\n",
    "    if i % 100==0:\n",
    "        losses.append(np.mean(batch_loss))\n",
    "        print(i, np.mean(batch_loss))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "预测训练结果"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = torch.tensor(input_features, dtype = torch.float)\n",
    "predict = my_nn(x).data.numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 转换日期格式\n",
    "dates = [str(int(year)) + '-' + str(int(month)) + '-' + str(int(day)) for year, month, day in zip(years, months, days)]\n",
    "dates = [datetime.datetime.strptime(date, '%Y-%m-%d') for date in dates]\n",
    "\n",
    "# 创建一个表格来存日期和其对应的标签数值\n",
    "true_data = pd.DataFrame(data = {'date': dates, 'actual': labels})\n",
    "\n",
    "# 同理，再创建一个来存日期和其对应的模型预测值\n",
    "months = features[:, feature_list.index('month')]\n",
    "days = features[:, feature_list.index('day')]\n",
    "years = features[:, feature_list.index('year')]\n",
    "\n",
    "test_dates = [str(int(year)) + '-' + str(int(month)) + '-' + str(int(day)) for year, month, day in zip(years, months, days)]\n",
    "\n",
    "test_dates = [datetime.datetime.strptime(date, '%Y-%m-%d') for date in test_dates]\n",
    "\n",
    "predictions_data = pd.DataFrame(data = {'date': test_dates, 'prediction': predict.reshape(-1)}) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 真实值\n",
    "plt.plot(true_data['date'], true_data['actual'], 'b-', label = 'actual')\n",
    "\n",
    "# 预测值\n",
    "plt.plot(predictions_data['date'], predictions_data['prediction'], 'ro', label = 'prediction')\n",
    "# plt.xticks(rotation = '45'); \n",
    "plt.legend()\n",
    "\n",
    "# 图名\n",
    "plt.xlabel('Date'); plt.ylabel('Maximum Temperature (F)'); plt.title('Actual and Predicted Values');\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
